data: $partialdiff sub T$ [ KAPLAN EXTENDED v2 ssta ] climatology

served from IRI/LDEO Climate Data Library

∂_T [ KAPLAN EXTENDED v2 ssta ] climatology: ∂_T SST anomaly data

ssta partial_T ∂_T SST anomaly from KAPLAN EXTENDED v2: Statistically homogenous concatenation of Kaplan et al [1998] OS SST and Reynolds and Smith [1994] NCEP OI analyses; the latter gets degraded to the resolution of the former.

Independent Variables (Grids)

Time (time): grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (27.5E) to (22.5E) by 5.0 N= 72 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (87.5S) to (87.5N) by 5.0 N= 36 pts :grid

Other Info

CE

null

CS

null

datatype

realarraytype

file_missing_value

1.00000002E30

missing_value

NaN

units

12 degree_Kelvin year^-1

history

$partialdiff sub T$ [ KAPLAN EXTENDED v2 ssta ] climatology

OS extended by NCEP
Averaged over T2[16 Jan 1856 - 15 Jan 1857, 16 Jan 2022 - 15 Jan 2023] minimum 0.0% data present

References

Kaplan, A., M. Cane, Y. Kushnir, A. Clement, M. Blumenthal, and B. Rajagopalan, Analyses of global sea surface temperature 1856-1991, Journal of Geophysical Research, 103, 18,567-18,589, 1998

R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994

Last updated: Mon, 06 Feb 2023 15:45:35 GMT

Data Views

	T	X	Y
$partialdiff sub T$ [ KAPLAN EXTENDED v2 ssta ] climatology[ X Y T \|]	M	M	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along X Y T
Differentiate along X Y T
Take differences along X Y T